Introduction
This project contains material to the university introduction course "Machine Learning for Economics and Finance".
Git clone:
git clone https://gitea.weseng.de/mwio/econometrics-and-machine-learning.git
Course content outline
Section outline
- Supervised Learning: Regressions
- Linear Regression
- Multilinear Regression
- Supervised Learning: Classification
- Logistic Regression
- Cross Validation
- K-fold Cross-validation
- Subset Selection & Shrinkage
- Lasso Regression, Ridge Regression
- Tree-Based Methods
- Classification Trees
- Bagging, Boosting
- Random Forest
- Deep Learnin
- Neural Networks